OBJECTIVE: The primary goal of this systematic review is to critically analyze and evaluate how effectively deep convolutional neural networks (CNNs) can estimate age and gender from orthopantomogram (OPG) images. OPG images, commonly known as panora... read more
Cardiac MRI allows for a comprehensive assessment of myocardial structure, function and tissue characteristics. Here we describe a foundational vision system for cardiac MRI, capable of representing the breadth of human cardiovascular disease and hea... read more
The search for biological mechanisms of human aging is stalled by a lack of suitable models, and it remains unknown whether and to what degree rejuvenation reported in rodents translates to people. Here we report a human induced pluripotent stem cell... read more
Computational materials discovery is increasingly driven by graph neural networks (GNNs); however, deployment is constrained by uncertain robustness and inadequately validated uncertainty quantification (UQ). The ALIGNN, MACE, and Open Catalyst model... read more
Cardiovascular disease represents the leading cause of mortality in China, accounting for over 40% of all deaths. Existing risk prediction models predominantly derive from Western populations, rendering them suboptimally calibrated for the Chinese mi... read more
BACKGROUND: Large language models (LLMs) are becoming a common source of medical information for patients. OBJECTIVE: This study aimed to evaluate and compare the quality and readability of ChatGPT and Google's Gemini in answering frequently asked qu... read more
Cancer remains a leading cause of mortality and morbidity, with surgical resection being a fundamental element of treatment. However, early detection and precise tumor resection are critical for improving survival and minimizing recurrence. Conventio... read more
The integration of Internet of Things (IoT) technologies in healthcare has enabled continuous patient monitoring and intelligent clinical decision-making but has also exposed critical infrastructures to sophisticated cyber threats. Traditional intrus... read more
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